NeurIPS Papers
5,858 papers found • Page 14 of 118
Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models
Omer Moussa, Mariya Toneva
BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces
Matthew Landers, Taylor W. Killian, Hugo Barnes et al.
BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning
Xuechen Zhang, Zijian Huang, Yingcong Li et al.
Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
Gen Li, Changxiao Cai
Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection
Yue Zhou, Xinan He, Kaiqing Lin et al.
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
Raghuveer Thirukovalluru, Rui Meng, Ye Liu et al.
Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression
Xiaohui Wang, Peng Ye, Chenyu Huang et al.
Breaking the Discretization Barrier of Continuous Physics Simulation Learning
Fan Xu, Hao Wu, Nan Wang et al.
Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining
Haochen Zhang, Junze Yin, Guanchu Wang et al.
Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
Xinpeng Lv, Yunxin Mao, Haoxuan Li et al.
Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs
Qi Kuang, Jiayi Wang, Fan Zhou et al.
Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies
Felix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock et al.
Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen, Xiucheng Li et al.
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
Yihan Wang, Yiwei Lu, Xiao-Shan Gao et al.
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
Peiyan Li, Yixiang Chen, Hongtao Wu et al.
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon et al.
Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks
Sara Cammarota, Matteo Ferrante, Nicola Toschi
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
Chaitanya Kapoor, Sudhanshu Srivastava, Meenakshi Khosla
Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks
Xinhao Zheng, Xinhao Song, Bolin Qiu et al.
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds
Hao Liang, Zhiquan Luo
Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains
Colin Kohler, Purvik Patel, Nathan Vaska et al.
Bridging Expressivity and Scalability with Adaptive Unitary SSMs
Arjun Karuvally, Franz Nowak, Andy Keller et al.
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap
Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin et al.
Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks
Yuhan Huang, Keren Gao, Dongping Yang et al.
Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation
Jianyuan Guo, Peike Li, Trevor Cohn
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
Longwei Wang, Ifrat Ikhtear Uddin, Prof. KC Santosh (PhD) et al.
Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution
Sihan Wang, Wenjie Du, Qing Zhu et al.
Bridging the gap to real-world language-grounded visual concept learning
whie jung, Semin Kim, Junee Kim et al.
Bridging Theory and Practice in Link Representation with Graph Neural Networks
Veronica Lachi, Francesco Ferrini, Antonio Longa et al.
Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation
Jianyang Qin, Chaoyang Li, Jinhao Cui et al.
Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery
Mélisande Teng, Arthur Ouaknine, Etienne Laliberté et al.
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
Brian Zheng, Alisa Liu, Orevaoghene Ahia et al.
BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
Shaojie Zhang, Ruoceng Zhang, Pei Fu et al.
Bubbleformer: Forecasting Boiling with Transformers
Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv et al.
Buffer layers for Test-Time Adaptation
Hyeongyu Kim, GeonHui Han, Dosik Hwang
Building 3D Representations and Generating Motions From a Single Image via Video-Generation
Weiming Zhi, Ziyong Ma, Tianyi Zhang et al.
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization
Tonghan Wang, Yanchen Jiang, David Parkes
BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
Lishen Qu, Zhihao Liu, Shihao Zhou et al.
C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
Kunlun Xu, Yibo Feng, Jiangmeng Li et al.
C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction
Kuan Wei Huang, Brandon Li, Bharath Hariharan et al.
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.
CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward
Yandong Guan, Xilin Wang, XiMing Xing et al.
CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
Jiyao Zhang, Zhiyuan Ma, Tianhao Wu et al.
CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
Weijian Ma, Shizhao Sun, Ruiyu Wang et al.
CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
Yiyi Liu, Chunyang Liu, Bohan Wang et al.
Calibrating Translation Decoding with Quality Estimation on LLMs
Di Wu, Yibin Lei, Christof Monz
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
Yuena Lin, Hao Wei, Hai-Chun Cai et al.
CALM: Culturally Self-Aware Language Models
Lingzhi Shen, Xiaohao Cai, Yunfei Long et al.
CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs
Jan Hagnberger, Daniel Musekamp, Mathias Niepert
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
Rui Li, Zeyu Zhang, Xiaohe Bo et al.